{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting a B-scan\n",
    "\n",
    "In the ``tools`` sub-package is a module called ``plot_Bscan`` which can be used to plot a B-scan (collection of A-scans) from models. The module takes an argument which is the name of the output file and a further argument which can be any field component or current, i.e. ``Ex``, ``Ey``, ``Ez``, ``Hx``, ``Hy``, ``Hz``, ``Ix``, ``Iy``, or ``Iz``, so long as that component or current was specified in the output in the model.\n",
    "\n",
    "For example (to use the module outside this notebook) to plot the B-scan of the ``Ez`` component of an output:\n",
    "\n",
    "    python -m tools.plot_Bscan user_models/cylinder_Bscan_2D_merged.out Ez"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can use the following code to experiment (in this notebook) with plotting different field/current components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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ow4YNWW08E57nKdm2re/bAQAAAAAEz9u2zYkeBtnyPE/JnTuD217L\nlk7tz1deeeWIx1q2bKnu3burTZs2ja7baI+NRx555Jgbv/DCC4/5HGNatAhuWwAAAACA4GzbZrsC\nWDRlyhQtWrRIF110kSQpHo+rV69e2rhxo+69995G5/lstGFj9OjRZivNVbNmtitAiMR371aMxjIY\nRKZgGpmCSeQJppEpIAtMHtqg/fv3a926dSouLpYk1dTUaNSoUVqyZIkGDBiQfcNGrsaMGaO//OUv\nKi4u1urVq4/4+fz58zVs2DB985vflCT94Ac/0D333NPwC3LghEm1tWQKZpEpmEamYBJ5gmlkCnDO\nnDlzdNttt6murk5jxozR3XffbbuklOrq6lSjhnRwaoytW7fq5JNPVlFRUaPr+tqwccMNN2j8+PEa\nNWpUg88ZMGCAZs6cmd4LMscGDIqRJxhGpmAamYJJ5AmmkSkgCxZ7bNTV1emWW27RvHnz1L59e/Xp\n00fDhg1Tly5drNVUXywW0/e+9z1deeWVkqSXX35ZsVhMe/fuVatWrRpdN6O9+sUXX+jEE09M+/kX\nXHCBNm/e3OhzMprMpHnz9J8LAAAAAAAkSZWVlSorK1PHjh0lSSNHjtSMGTPypmHjiSee0Msvv6wF\nCxZIkkaNGqXLL79cnufpzTffbHTdtBo2Fi5cqB/96Efas2ePtmzZolWrVumpp57Sk08+mXPxixYt\nUnl5uUpKSvTII4+oW7duDT+Zhg0YFK+uVqy01HYZCBEyBdPIFEwiTzCNTAFZsNhjI5FIqEOHDqnl\n0tJSVVZWWqvn6zzP0xVXXKErrrgi43XT2qu333675s6dq6FDh0qSzj33XL311lsZb+zrevXqpS1b\ntujEE0/U7NmzNXz4cK1fv77B51//5pvq9I8uKK2aNlV5cbFi/2htiv+jZwjLLKe7XLVrl2L/aCzL\nh3pYdn9ZJ5wgNW+eN/WwHILlE05QfPv2/KmHZbeXyRPLhperdu2Stm/Pm3pYdm+5qqZGO/7+d0nS\nph07hGh75ZVXdPfdd+vjjz9WMplUMpmU53natWvXMdf1kmmMBenXr5+WLFmiHj16aOXKlZIONm6s\nWrXqmBvYvHmzhgwZctTJQ7/u9NNP1/Lly3XyyScfWajnKfnAA8d8DQAAAACAe7x77slsqgLHeJ6n\n2lr/3l88Htf8+fHU8v33Tzxsfy5evFj33Xef5syZI0l66KGH5Hle3kwg2rlzZ7322mvq2rVrxuum\n1WOjQ4cOWrhwoTzP0/79+zV58uS0N3aopeVoampqUrOeVlZWKplMHrVRI4VZlwEAAAAAOEIsFlMs\nFkst33//xMN+3qdPH33wwQfavHmz2rVrp5deeknTpk0LuMqGFRcXZ9WoIaXZsPGb3/xGEyZMUCKR\nUElJiSoqKvTEE08cc71rrrlG8Xhc27dv12mnnaaJEyfqq6++kud5GjdunP70pz/p17/+tYqKinTC\nCSfoD3/4Q+MvyBwbMCj+3nuK5clEOQgHMgXTyBRMIk8wjUwBmTtwwN62mzRposcff1wVFRWp271m\n25Dgh969e2vEiBEaPny4mjZtmnr8Bz/4wTHXTWsoSj7wPE/JGTNsl4EQib/7rmLdu9suAyFCpmAa\nmYJJ5AmmkSmY5g0bFvqhKH//e3Dvr2lTz6n9ecMNNxzxmOd5euaZZ465bloNGxs3btRjjz2mTZs2\n6UC9JqaZM2dmWGr2PM9Tct68wLYHAAAAAAiO953vOHUhnikaNvyT1lCU4cOHa8yYMRoyZIgKCgr8\nrqlhxx9vb9sAAAAAAOTA5lCUfLd+/XrddNNNqqmp0d/+9jetXr1aM2fO1D333HPMdTO6K4pNnucp\nuXy51RoQLvFlyxTr3dt2GQgRMgXTyBRMIk8wjUzBNK9Xr1D3MPA8T3v3Bvf+mjVzq8fGwIED9cgj\nj+jHP/5x6m6sZ599tv72t78dc920emxMmDBBEydOVEVFxWGTePTs2TPLkrNEjw2YdNxxZApmkSmY\nRqZgEnmCaWQKyBg9Nhr2xRdfqG/fvoc9VliYVpNFeg0b7777rp5//nm98cYbqaEonufpjTfeyLDU\nHHHghEGxAQNsl4CQIVMwjUzBJPIE08gUAJO+8Y1v6MMPP5TneZKkP/3pT2rXrl1a66Y1FKVz585a\nu3atjjvuuNwqzYHneUomEta2DwAAAADwj1dS4tTQiUx5nqft24N7f6ec4tZQlI8++kjjxo3TwoUL\n1bp1a51++ul64YUX1LFjx2Oum1aPjbPPPls7duxQmzZtci42J61a2d0+QiX+1lt80wCjyBRMI1Mw\niTzBNDIFwJS6ujotW7ZMf/3rX7V3717V1dWpRYsWaa+fVsPGjh071KVLF/Xp0+ewOTaCvN2rJIai\nwCzGhcI0MgXTyBRMIk8wjUwBGWOOjaMrKCjQf/zHf+iqq65Ss2bNMl4/raEo8+fPP+rjAwcOzHiD\n2fI8T7W17nSjAQAAAACkr0kTt4ZOZMrzPNXUBPf+iovd2p8//elP9Y1vfEMjRow4rHHj5JNPPua6\naTVs5IOgb40DAAAAAAiOa7cnzZTneUokgnt/JSVu7c/TTz/9iMc8z9NHH310zHUbHYpywQUX6J13\n3lGLFi1SM5NKUjKZlOd52rVrVxblZo9uOzDp7bfjuvDCmO0yECJkCqaRKZhEnmAamQJg0rp163T8\n14a37du3L611G23Y2Lt3ryRp9+7dWZZmFg0bMKm2lkzBLDIF08gUTCJPMI1MATCpf//+WrFixTEf\nO5pGGzbq99LIB/v3264AYdKvX4xMwSgyBdPIFEwiTzCNTAGZozHwSNu2bVMikdCXX36plStXpobP\n7Nq1S1988UVar9Fow8bHH3+sX/ziFw3+/I477sig3Nz9/e+Bbg4AAAAAAPho7ty5evbZZ1VdXa07\n77wz1bDRokULPfjgg2m9RqMNG7W1tdqzZ0/eTDhC6xZMWrw4rvPOi9kuAyFCpmAamYJJ5AmmkSkg\nc1zTHmn06NEaPXq0Xn75ZV1++eVZvUajDRvt2rXTvffem9UL+4EQwCTGhcI0MgXTyBRMIk8wjUwB\nMKm6ulq7du1SixYtNHbsWK1YsUIPPfSQKioqjrluo7d77dGjh1auXGm02Gx5nqc1a/Kj5wgAAAAA\nwKyzznLr9qSZ8jxP778f3Ps780y39ue5556rVatWae7cufrNb36jBx54QNddd11ak4cWNPbDefPm\nGSsSAAAAAADgaA41wsyaNUujRo3SWWedlXbDTKNDUU4++eTcqzOIrm4waenSuPr0idkuAyFCpmAa\nmYJJ5AmmkSkgc1zTNqxXr16qqKjQxo0bNWnSJO3evVsFBY32xUhptGEDAAAAAADAb1OmTFFVVZW+\n+c1v6sQTT9T27ds1derUtNZtdI6NfOJ5nlatcqJUAP9AizQAwEWFfPUHWHHuuW7NCZGpoK9pw74/\n63PqsM1FEgAAAPzGOScAuCW9AStACC1bFrddAkKGTME0MgWTyBNMI1NA5g4cCO5flDjVYwMAcKT9\n+21XAL8cOMDvF0cqKrJdAQAA5nz22WeN/jydm5o4NcfG8uVOlAo0iosUAACQT2gsQ77o1Svcc0IE\nfU3ryv48/fTT5XkHa92yZYtat26tZDKpHTt26LTTTtPGjRuP+RpO9djgghAAAAAwi3NsIDhRGyKS\njkMNF2PHjtX3v/99DR48WJI0e/Zsvfrqq2m9BnNsILKWL4/bLgEhQ6ZgGpmCSeQJppEpACYtXrw4\n1aghSZdddpkWLlyY1rpO9dgAAAAAAMBV9NhoWPv27fXAAw/oX//1XyVJL7zwgtq3b5/WusyxAQD1\n0B0XAMxjDgcA6XBlTohseZ6nBQuCe3/f/rZb+/Ozzz7TxIkT9dZbb0mSBgwYoJ/97GdpTR5Kjw0A\nqCdqJ9805AB2RO1YAwA4iB4bDTv55JM1efLkrNalYQORtWxZXL17x2yXgRBxMVNRurhysRFn+fK4\nevWK2S4jMFHKow0uHqOQ38gUABOGDBkiz/Ma/PnMmTOP+Ro0bAAAIsHFi+bCQjfrBgAAR0ePjSP9\n5Cc/yfk1mGMDAAAAAGBdFObYmDcvuPf3ne+4tz+//PJLbdmyRWeeeWZG6znVY6PQqWoRBFo8AQAA\noofrAriK65eGvfbaa/rJT36ir776Shs3blRVVZXuvfdehqIg/HL5UFu6NK4+fWLGakH+sPWBwVhj\nmEamYJKreeICNn9xLgXApPvuu0+VlZWKxWKSpPLycm3cuDGtdfmoABA6tk6CmzThBDwdfFOBfBKl\nv1mOUQCAfFZUVKSWLVse9lhjk4rW59THW5Q+jDnx9x/fMMA0MpWeKB3Lc3XeeTHbJSBEOEbBNDKV\n//jMzT9c5zXsrLPO0osvvqja2lpt2LBBv/rVr9S/f/+01iXqeYqDEMKAAzcAwEWchwFA8B577DH9\n/Oc/V9OmTXX11Vfrkksu0b//+7+nta5Td0VZs8aJUuGIysq4+vaN2S4DIbJoEWONYRbj12FSrnni\nYh9fx7kUTDvrLPfu4pEJz/M0Y0Zw72/YsHDvz/r4iAIAQ2yNX6dnDBAt2R5nmGMDAJCPbrvtNj36\n6KMaMmTIUefUSOeuKE712Hj/fSdKRQRwIQnwdwDQSADwdwCzzjwz3D0MPM/Tyy8H9/4uv9yN/bl8\n+XL16tVL8+fPP+rPBw4ceMzX4FAEZIEP8fRw4Rturv0dkMf851qmEF5kEQCCc+qpp0pKrwGjIRy2\nEVlLlsTVr1/MdhmhFrUTw4ULGWucz1zMI+PXYVKueXLxbwj+4lwKyBxftBxp+PDhWrFihSTp8ssv\n18svv5zxazj1EcUHKkxiPgSYRqYABIE5NmAamQJgU/3hMh999FFWr8GhCJF13nkxK9t17QSAi+b0\n2frWKpdM8fvNb/TWCC8bnwV8sx4M1z7nc2HrXApwGedeR6o/YejRJg9NR4QOvQCyYesEjYN+MGgU\nAbIXpQtYV/E7AoD8t2rVKp100klKJpP68ssvddJJJ0k62JPD8zzt2rXrmK/h1OGeD6dj40IjfYsX\nx/mmIY+5eMEdtbHG2f6OOE6ljzk2/BelcwtXj1FR+h25hnOpYPA3EC6cBx2ptrY259fgzyRkOPCl\nL5dxoRyQ8puLjSIAEGacn4QXv1sA+cBLunBjWx0ca7N5sxOlAnmJC3b/sY/9xz7G0XBhFQz2s//Y\nx4i6jh09OXJ5mhXP8/Tcc8G9v9Gjw70/63Pq8MnB/tg46UdDuFuH/+gpAiDfcS6VHvYT8gl5DJd8\nPue766679Nprr6lp06b61re+palTp+qkk07S5s2b1bVrV3Xp0kWSdN555+nJJ5+UJK1YsULXX3+9\n9u3bp8GDB+vRRx+1UnuBla3CN4WF/Ev336JFcdu/rtDL5ffjosWL47ZLQMhUVsZtl4AQWbIkbruE\nwEXpM8iGXM+lbJ8LuvIPCEpFRYXWrFmjqqoqlZWVadKkSamfde7cWStWrNCKFStSjRqSdNNNN2nK\nlClav3691q9fr7lz59oo3a0eG4BJtu69ns+ttAAAIHqyPR+ydS4FuCyfrwUGDRqU+v/zzjtPL7/8\ncmr5aENatm3bpt27d6tPnz6SpFGjRunVV1/VJZdc4n+xX0OPDURW//4xK9ulxT68mBkepnFHFJjk\n4h1RkD4b5xe2zqUA+O+ZZ57RZZddllretGmTevbsqYsuukjvvPOOJCmRSKi0tDT1nNLSUiUSicBr\nleixASBP5XKilc8t4QCAzNCwDyBM/DxPXb8+rg0b4o0+5+KLL1ZNTU1qOZlMyvM8/fznP9eQIUMk\nST//+c9VVFSka665RpLUvn17bdmyRa1bt9aKFSs0fPhwrV271rf3kQ2nPiqaNLFdARpi4NbDgVu4\nMO7cNw1c7Oe3xYvj9NpIA1lMX2VlnF4bacglU1G6aF6yJK5vfztmuww0wrU8Llzo3rlUrrgeQT47\n44yYzjgjllqeNWviEc/57//+70Zf49lnn9WsWbP0xhtvpB4rKipS69atJUk9e/bUt771La1fv14l\nJSXaunVr6nnV1dUqKSnJ8V1kx7HDJ/KVrYO8iw0qAAAAyA0NDHBVPn/BM2fOHD3yyCN666231LRp\n09Tjn376qU4++WQVFBToo48+0gcffKBvfvObatWqlVq2bKnKykr16dNHv//973Xrrbdaqd1LOnJj\nW8/ztG2bE6UiAqLUoJLPB9+GUHMwXKwZMMm1b9clag6Ca/XmigYGmNS2rXfUSSrDwvM8TZ4c3Pub\nMCGz/VlWVqavvvpKp5xyiqR/3tb1lVde0b333qvjjjtOBQUFuv/++zV48GBJ0vLlyw+73evkyZN9\neS/HQsMGkAUaNvIbNef/dl3Dfkpf1C7qsmVrP7n4+3GtZtfqzRUNGzApCg0b//Vfwb2/O+8M9/6s\nz6lDb1GR7QqCs3+/7QrCb8GC7Mca5/IhHqVGkahZsCDOXQfymIuNE0uXxtWnT8x2GRlhvov8tWRJ\nbscofj/hle15TS7nUghGlK6fEG18ROUpGwchGlMA5DsXGyeQvmx/v1xwA8h3NDAA/nJqKMr27U6U\nGkk0iqTPtR4bDJFIH/sqPa7Vi3BzsVGEYSzps1Gzi/uJ4STpo4HCX6ecEu6hE57n6eGHg3t/d98d\n7v1Zn4OHXuSjXA7yNIogn3DRnT72VXpc3E8uXphli6Ez6WNfISxonADCh48ZRBbjQmFaLuPX6e3h\nPxff67JlcfXuHQt8u7b2lWsXv7Yu9LPdbmVlXP37x7LfMPA1nEsBmXPxfMQFjp1CIIzo7QEgXZwM\nhBtzbABIF70uANTn1BwbO3c6UWoKJ+D+c7Fhw9YcGzbyGLVeCGw3v7l4vIga1y5UojbXRZS2G6X3\nKrk5x4ZrxwsX2chjy5bhnhPC8zxNnBjc+/vZz8K9P+vjOw4f2ehmCiA3UWskcO1YQ+NEuGX7+7V1\ngePaUBRXtwsge/ztISqIep7K9iDk2kWKTYwLTQ8X3OmrrIyrb99Y4Nt1bV9FrXEil15aK1bE1bNn\nzFgt6XLt29tcMhWlRpGlS+M6//xY9hu2xMa+ohEnPZxLBSNKmYoC187bXMGfCeAQDoTpsbWfamuj\n9TtyrYHCtVst22RrX9loUHGxUSQX9PbIb+wnAMgOc2wgxcULMlsXVsyT4f+6uYhazbmgcQJh4FoP\nE8leo4iLc0e4NseGi/s4F7b+/lxrWKThKT1RmGPj//7f4N7fpEnh3p/18ScGIC+52NBmC40T/iOP\n6bNx8p5LpmxdlEWtp0gu6MUAADgWDveIrKiNC43ShZmt97p4cVy9e8fsbNwCGw0UUcqxJK1cGVeP\nHsD1c58AACAASURBVDHbZWTExu8ol4tXFxtFsrVsWW7HKIaipCdK73XhwrguvDBmuQrALVE7lwmK\nY4dPwJy6Oi7M0uHisI5c5Pp+bfSeiNLQqFy4Vq8UvXlbmDjbX7aOUZK9C3bXGtpyYatBJUqNgwDy\nF3NsICVqY/xdvBiM0hwbru0nKbcsu5hHG1yrF8Fw7Vtuyc35EFycFyTbdaM2x4aLecyFjSy7eJyy\nIQpzbPyf/xPc+3vkkXDvz/qc+hPjmxwge9n+HUTt78e1+Sok935HrtWbKxffr2sn4C52/Xex5ijN\nC2Lr79a1vz0AmXPxvMAFHD4RWQsXxtW/fyyrdTkgpcfFXhe5WLo0rp49Y7bLCIxrvyPX6pWkVavi\nOvfcWODbjdJFnYsNDNlasSK3Y5Stb9ejNJzElmz38aJFzLEBID9E4rBta7Ir+C9qd1cgj+mh10V+\nb5ccoyGuXcDaahTJdrs2PzOj1NsjF1FqVJSYnyPMotY4mAnOg/zh1Bwbe/cGX6prwXOtXil68xK4\ntq6LDTG2MhWlxgmb27UhSu81V1E6mXVxLgVb23Vtbg9b81VEbd1cuJapXLh4XM225mbNwj0nhOd5\nGj8+uPf32GPh3p/1OfhngnzEN+QwzcUGr1zQOJEe1+qNItd6XeTCtR4buW43F7aOy65dwLrIxTzS\ngwg2cS7jDxo2YJ2tk51Fi+I6//xYVuu61usil3Vz2aaLjRO5vN9ly+IqL48ZqyVdNIrkt1z207vv\nxtW9e8xYLely7dtBF7vv27gYrKqyc4yS7N1OFP5avDiuCy6IWdk2w1gA1OfYqQtwOC6scDQuDp+J\n2nZtiNJ7zZWLDQU2uNZjI9cGAnIB01zs7QHkivMRfzDHxjG4Fjxb367nwtacBqybnqj1uqBRxH+u\n1Ytwc/HiyMU5Nlybw8HW/A0u7mMX17XRY8NWLmxhjo2j8zxPY8cG9/6efjrc+7M+B/9MooETf0Sd\niw0MUcN+RhjwjXEw6O0BZI/jVLhw/uQPog4jXLyTxOLFcZ13XszOxi1wcYJXG3LJ46pVcZ17bizw\n7SK8bM2xgfyW7fFi9eq4evaMBb5dKVoXV7l83rq2n5Ysievb345Z2batz03m5wDyk2OHT+BwuXyo\n1da6dwtUGx/iLg4VsiWXTNniWr1APnHxQj9qNduQy4Wva+/V5ueea41AwCGu/Z27wtc5NqqrqzVq\n1CjV1NSooKBAY8eO1a233nrE82699VbNnj1bzZo107PPPqvy8vIjC81hjg0Xw2NjPoRcuHjxG7V1\ns81G1H63uYjadgHY4eIcG7a2m+26tuZvYH6O/F+X+Tn81bJluOeE8DxP110X3Pt7/vlw78/6fI16\nYWGhfvGLX6i8vFx79uxRr169VFFRoS5duqSeM3v2bH344YfasGGDlixZohtvvFGLFy/2s6zAuHax\nEbULWBfXtTGRp4v7KRdR2y4A97h2Nxab2wXyha0hLC720gKy4Wtc27Ztq7Zt20qSmjdvrq5duyqR\nSBzWsDFjxgyNGjVKktSvXz/t3LlTNTU1Ki4u9rM0QJWVcfXtGwt8u7buMmJj2I0ttmpeuZL5EGAW\nc2zApFzz5GKjSLZc/OzLRbb7eOnSuM4/P2a0FiDsonZ8CUpgHxWbNm1SVVWV+vXrd9jjiURCHTp0\nSC2XlJQokUhEvmGDiR7T4+IcG1HCfgIA2JTt51DUvqnOdj8xx0YwcrkuyGUYC+CSQA4Je/bs0RVX\nXKHJkyerefPmWb/OuHHXq2PHTpKkli1b6ZxzyjVgQEyS9NZbcUlqcPnttw8uX3hhcMu1tdIFFxxc\nfuedgz9Pd3nBgoPLh2aaTnf50F0+Fi48uNy/f/rLtbVKtbovWnTw5+kuH6r/0PYXL05/+cCBg7Nq\nS1K/fgd/nu5yr14HlysrDy4f6oGR7vIhS5ceXO7TJ5bW8rJlB5d7985uefnyw+tPd/nssw8ur1x5\ncLlHj2CWq6oOLpeXZ7Z8qN5Vqw4uH7pjSDrLtbXSOeccXF69+uDPg1g+cODgt5qSUt9sssyyreXu\n3WN5VQ/Lbi/nmqdcjo+HPk+CPJ5L0po1B5cz+fyR/vn5m83nX5Mm2X/eHjrfyGb9Jk2yP784dH6W\n6fnMoZrTPX/6+nK25299++Z2/njo/DmT89VDy02aZH++vHDhweVMzs+lf15fZHN9UFiY/fVIENdL\nq1dXadeuHZKkzZs3KQr44s8fvk4eKkkHDhzQ9773PV122WWaMGHCET+/8cYbddFFF2nEiBGSpC5d\numj+/PlH9NjwPE87dwY/8Ymt4DHRo//r7tuX/bquDSfJZd2ozTnBh014RenbPVfx9xdeLk48amOb\nLk6ImUuPgOOPz35d1/azi7+fXGT7fqMweeiVVwb3/v74x3Dvz/p8P9z/8Ic/VLdu3Y7aqCFJQ4cO\n1RNPPKERI0Zo8eLFatWqVeSHoUSNrYaNZcvih33jAPOi1jjBfAjpoYEhfatXx1PfPEcBcyn4y+Yx\nyrWJRzlOpWf58niqN0M2GMaCKIrS506QfP2zXrBggV544QV1795dPXr0kOd5evDBB7V582Z5nqdx\n48Zp8ODBmjVrljp37qxmzZpp6tSpfpYUKO5gEV6u9brIdV2EV5RO7lx8r03+//bePcjK6sr7/56m\naW7NVZTWbgIoqIAdbjaiIj4QEWXiJSMxmoyoY+6T0Vxm8jM1eZMxk2hSmaQ0FUysiZqYpNQkFSFv\nxeub+IA6aqs06HgJiHLpjqCIclNs+/L7o6EHIshhrT7ne9Z5vp8qq3yaXr332Wc/e6+99rr0itlv\nK4x1ijW+WpPLlyx9tx0d7B7YyNJ35EH5OUQkCh6K0lN4QlGihZMA8QwbnrCOLJVOBXxj5UGhKKVN\nxMNrtD5H628WifbeR+svELPPHrIUiuLBExLCCpNgjbN1rLIWZmTlsMPKO3Qil8vhnHOK9/n+7/8t\n7/HcG6l5ZUbWbvQj5rrwkLXvNxoRD87RlH4WEfvMIktlPVnlTz1E7HM09N0Whyx5W2kPEuLg6DU5\nCFk7ODNgfdbly1NMnZpwGs8IEeexR3lg5UNQUr7ybVfrVH5ENE4w2vWuUREPzsqxUViamv63Ikqx\niWZE9RBRn1IYy4GJ+H1GINhrLQpJ1rwBPLXXszZW0YimsAAxXZezZNjwuPJ6qKjgtS3KD+ZcimgU\niQZjnDy6FMCbk/K6EKL8CJVj4/XXi9/VaB4bEXNdvP22XTZrSTyjKXdZuk0BsmecYPSZpQTr5il/\nPPumFc9e4CHieh6xzx6y5LERrfypV9azH/TrZ5dllHtllcVl5OfIQo6Ns88u3ue7557yHs+9Cbhs\nHzoMJQvIlvIQrb+iOGRNMWQRUam0wjIwRJwXonxRDof80bsr9ke0ixfW++PZ51nnrwjo3FQYtNwf\nBNYtEIOIL5mnz08+mWLy5KTo7UYc52iwFNn/+R/7nIponGAYGaJ5mHhpbEwxfXrC7sYhEfHwmxWa\nmlLU1ydm+Wg5RbIGY5xWrkwxbVpS/IYRL4wl4h7kOQcpjFIUm4CvWBwYh9+slU719NkbFyoKS0S3\n2Koqu7tolsrlRTROsNrt1w+orua0bYWxrrL2PtZh3brn9u7tc2mPaNTXPl945I2THxHnYrQxjkLE\nuRCBUDk2Nm60dTVLeRhYOTY8ho133rHLRvt+skbEQ6hHtk8fu2w044RHNlp/vUS8tYqWsyLiXhDx\nIiLifh2pzahEXNMZ+3XEHBsM2dra8s4JkcvlMHt28T7fgw+W93jujexwJQpjQ2V5XQixP6JtxEC2\njBOAXdGKltcDyF7yUM/n9ewl1u+X5TnhuUyISMS9XgYKsT8YczliaWlRGLQuFQZN9QKiG4b8YN3i\nrFyZYtKkxP4HMkLEAzfr4NzUlKKhITHJZukmJ2LYjQdPu8uWpZg1K+mxvuRLxPAMBqywDqtBpbEx\nxdSpibndiN5HDKLNYw9PP+2bU1kKY4m4rsooIiKRiekazf2R2a6VaP0FlGOjnGEdnHv1ylZ4BsNj\nI2IoCitvi4doe1/WPDY8RkWWV5oH7dWlTcSDs6fPDANfRKOIODAa18IQKsdGS4utqyzDBiPfxdtv\n29vMUi4Sr2xEdOAu7XYj9tnaLuuzeqhAB6fhgCeGDlQUvc1oe3XUdiP2OUt5WyISUcdgeCv262eX\njaYjjBpV3jkhcrkcTj65eJ/v0UfLezz3JhMeGx6i3Vqx0CZeHKK5BLJCQmScKI4sw1jmMjBkbaEi\n9bmCcGKorLQbU1jhJB48B32GBxDg63O0G3IPul3Pn4jfkZWIHhvRdNZikrV3tVhkYspp8uRHxHHy\n9Pnpp1N88INJj/Wl1GEcQiPmUvDINjamOOWUxCQbzTgBAFWVRiNDxKtQ0gKZPvwwkpkzKW2bIbyA\nHmNKlUv75hhUrDz8cIoTT0zM8hETM1uJGCLBwKtLRTw4W/uctRw10eayiE8ow0a0ZJyMcmwRw0my\nRjTXSU9JNI/rJOug7/281dU2WU+fzQYGwHeNusMoG9E4wZLduhXYvNkubyXaQkXqb5XjxfXIWj1U\nPGsUwPOk88hmrXKNlazpcYzPGzHPU8R2I1DK79s111yD//qv/8IRRxwBALj22mtx1llnAQCuu+46\n3HLLLaisrMQNN9yAM888EwCwfPlyXHbZZdi1axfmz5+P66+/ntL3UDk21q2zdTViTKjVsBGxxnwp\nv9wHgrVYR8uHEFHWo/SHNE4wZKMF23vRIlf4drMWB+aQbW2ze5m47KA77LKMZSpruUg8ZG2JY9hf\nPZcuHo8nxtJ63HHlnRMil8thypTifb6mpkMbz2uuuQYDBw7El7/85X1+/vzzz+PjH/84nnjiCTQ3\nN+OMM87A6tWrkcvlcNJJJ+HHP/4xGhoaMH/+fFx11VWYN29eT3+UgxLKlhbNY8NDxFrxIj9Y5wXr\nTVu0i1sgYGgGEM844ZGVYaP0iWbYiNYmEY+nSFvAXCbRwjAj5lIQhcdzLvAYNiKGCgk/+zOELFmy\nBBdddBEqKysxevRojBs3Do2NjRg1ahS2b9+OhoYGAMDChQuxePFiGTYKBWuxtnpdsMjapvbssykm\nTUqK3m60GGVWfz23E6xL1PT++5HMmmUTjmac8MiyjBMBXcvSpiYkU6ZQ2jbDWDQ83w8rmyaB9OGH\nkZxxhlm+b9/+Pdib/PHoU4wSwp6DJOtiyzpOK1f6dKmIuidjTnnwvD8ylhWGUh+bH//4x/jlL3+J\nE088ET/4wQ8wePBgtLS04OSTT+7+ndraWrS0tKCyshJ1dXXdP6+rq0NLSwuj27EMG1ny2GCUJxP5\nE83rAuDcWnnOC6zSZhVtrXbh1tZ4fs8ybBRe1oNnTrGI5uOdJZzzyZOktbKyyizr2Q+shgLWTXU0\nb4+sJcT0wNpGos0p4WPHjhQ7d6bv+ztz587Fpk2bup87OzuRy+Xwne98B5///OfxjW98A7lcDl//\n+tfxla98BT/72c8K3OueIRNTTuEkhSdiyS2GtwbAuwVihK6zEs25QkKsCTEBJCeeGM+w4Ql8t774\nLMOG59qKlJk5OeYY33dkJVo5pGjlEUgkU6f63j9PotVqu6wnBMY6HVmhMyxvD2ufJ09OQobPZOnA\nHjGMpdwp5Nj07Zugb9+k+/nVV695z+888MADef2tT33qUzjnnHMAdHlobNiwofvfmpubUVtbe8Cf\nMwj2ahafaOEkIn9YIRasw75VSfO0yaqKEs6DwSsbLSufZ2FlZUj2EHEjYdTXBDjlmxTGkj+kjdMT\nAmP9ej2HQZZRhKVfeNDht7RhhbEIHhs3bkRNTQ0A4Pe//z1OOOEEAMC5556LT3ziE/jSl76ElpYW\nvPjii5g+fTpyuRwGDx6MxsZGNDQ04LbbbsOVV15J6XuoKRctPINhSY7oac0yMDzzTIopUxKTbJZK\noHqqhAyq9nhOOA7rJNk0Tbu8NorcbjhjTMRQFJJxIl21Csmxx1LaNsNwLctYZRPrO5Q2NSE57TR7\nu6T3r6LaLjvIvInZvUQ8RDvoP/VUihNOSNjdOGQi6ssMWGEs5U4pj81Xv/pVrFixAhUVFRg9ejRu\nuukmAMCECRNw4YUXYsKECejduzduvPFG5HI5AMCiRYv2Kfe6pzxsscmEYcNDlsJJskavXnZdmKG3\nAxwd2nUhyap+wZKNmGNj+3a7rHWBZNTCBmjhJO73YOdOu7wVz0LlGWerFs3yMInmjePN2ZKhMll9\n+9pzgkRMBeSJAlOCyfKFFcYieNx2220H/Levfe1r+NrXvvaen0+bNg3PPPNMIbuVF7nOIIWCc7kc\nVq60dfXtt+3tel7oaFUJI8Ybssp6erwYPH32tDtkiE2uf1+S18Wbb3LajSjrMU54QjusiytrYWUd\nQiNayFkZAa2aMCsZkMcFz+P6N3CgXdazkUSUtW5+jjbf2mX39mBtfdFSNQG8vMrRqqKwLtSsS+uM\nGbn9lhstF3K5HMaMKd7ne/nl8h7PvZHHRgm2mTWyVGEE4Hkum/sc0XOCpaGxtEqGccLTLkuTjRiX\nyIK1MDOMQBEDwSNehbI8NqxrhqsCjD0nCCs/Byu3R8TEo1mCNS+EsBBwNz90Il6WMYio23n6vHJl\nihNPTIreLkvWXCnEUSUkpGHDcdBPn3oKycSJNmGPUYRhnPC0y0oAGjCoOt2wAcnIkZS2zTAWOc/3\n4/GcCEb6wgv2PECA76TCcrEkGDaqhtg/a6WjAgzj1Xv88RQTJybmdlkRgh4i6ssMdP46MDKsFYZQ\nr2a0UNYsTdqIFUY8OTYiemyEy/3A8rrwHLo98evRjBOediMmD2Ut6N6cCAwYG4JOGvnxzju8HBue\ndTmYYcMzxowKMIC9yx5dao+8FVVyyY+IoeZCWNB0PQjRFq+IeBZNjzfuaaclZlnWxZPZ6wKwe15k\nqQwp4DroJ2PG2NtmGSc8iSmtC2REw4YHR7vJYYdxDBssH+9oho1gSkIyapRvPrFOoYx9iNRflreH\nVa9JkoSWYyOit0c0ZBQRkQg15awLmBav/IjodcHyfqCVQPVkFbPKMtr0yrKSlrKSeLIMSDJsFJ6s\naZXR3OhYh3XPJuQxhHr6HLEqUTAGWROlAvCUt41YhZuxPGZoKgLI3uc9FDQ2hSGg1nPoaD8sPCyv\nC0+7Tz6Z4tRTk6K3G64EKsn7wSXrMTA4Pm/6l78gGT266O3SZK1zOWI4CSvHxubNSIYPtwkrAD0/\nWKEZHoztpuvXIzn2WHu7ng3bsy57bkCsOVQ8Bq9oazKAykpbedtly1JMmZKY2/V8XM90lLdHfmTp\ns4r4hNI+9HIdnIheF8yLNkZlwXDJOFnVOliyns/ryYcQUBE2t5sx44SrXVaOjSyForA2IYZBxTuf\nWOPM2A8iGps9uT2qbYaNqiqfgYH1CkXL7aEzUHmh77MwhDJsiMLC8rpgeQGfcUZilq1oa7U3HE3h\nYZU/ZVUJcYxxcsQRHMNGNC+grBknHCSDBsWrdc4wirAO3B4IJ7pk+HCeYYN1kowW3kTSESqMfZ4z\n8xS8RdqCWKVxFRovRGkiw4boESJ6imTK68IjG62/AM9jI2uy0UJRPEgjFfsjWsUaL6zN3nN7kqW9\nL5i3BxDP3iVETyCVojCEeq0ZOjQLxgVDxM2lXz+77LL0z0iSxCYcUPEwe0BE/Kwk2XTtWiQ1NUVv\nN1wyzoiZ5kikW7ciGTyY3Y1DwzPOngNsNAhGkfTVV5F84AP2P8Da7BlJWlkVwYJ5e6SPPILkvPPM\nzfbrZ09a6rnDYOjLWSveFPH8JWITyrAhDk7EJJ7WvF6A0+uClQ8hWgnUgAYGmmx7e7xKIYx2WQYG\nT7Y4Fh0dMftdbFjGlGjhCq2tvPUiS4aNaBcYgH0+OvO29O3b3yzr0R8ZSUuVsFTsQd9nYZBho4Aw\n9nBWaIan8tzAgXbZKthzXSQf/GC8EqibNxe/3ddes7e5datdNmBuj6RPH/s4sw4bngMh48Ad0OvC\nQ9KvX7Y+s/WzssojeDZdzztv3LCT6mrfHsRKasCQzdJ7B5gVz2T8eNecqhpuV5YHDrSHwDCMDNHK\n0wI6gItYhDJsZOnlsi5grIsnWnbpiDcqpMSW5gN71vJVsJTviMaJaIq/PB9KH+tmEm0uMmEZJ6J5\ne3jGiRWKwtIvSLKVfWPl9lB5WrEHfSeFIZRhIxrR4vc8e6kn10VVZYdd2JMPYdkyJNOnF71dmqHA\nqvBkKUTC2W762mtIhg61CWfJOCEDQ96kO3Z03bJnBcbc8JxwghlU0q1b7XmAAJ5xglE6I+IFBkG/\nSJuakMydW/R2AaDKsTYycntELE+rA7iIhAwbByFa1uSIeb1otwSeuNDt2+3tsnJsMHbigMYJV7vv\nvGNXaKMZJwAZKER5wApFYby3HR2+Q7fnFiOaUSRa/hTAp19YE1a89VZMb49Ke24PRoJ/FjKKFAaN\nTWEI+IrFgZHI07OX0kqnvsnZ1JITTrDLs7wuPAaVLCVQI4WTuKpXyDgh9kOmvDUiEswokngME0DM\nUD3GKZS1z3uUMaNekxx3XEg9oe8Qu2HD+uqy7F0KYxFZQYaNgxAt7wSrdGpFmz2JZ8js4RlyMw1p\nnIiYr8KDjBNCxINlFIm4XkTz2GCEznjb9eg1Hn3KY7x1fF6P3tqvny23R7TytN52ZRQRxSYTho0s\nuX6xPCcjWuvTJ55AUl9vE85SQs2IN3Qk40S6ZQsSa5mfiIeNaHi0OxLp9u32ORURvQf5YRyndMcO\nn2cZC4bHBmv/Yska9Zr0hReQzJxpbzfgWPU1Ji2lhXyTiNjnYiGjT2EINeUYh31PjWyPB4TVgO0x\nfHtKp9LKn3pKke7YYW+bUXbVK2u9UfG0ybo9YuWr6OjI1sGMYSjwpJWPSGVltj6z9bMqlCt/IvbZ\nsx9YiXjyYJwkt2716QksdwKHbFWN7SawutpexYV1xyREJEIZNqIRrTpZRKu5x3MiGTNG4RmFbtMj\nyzJOONoNmQ8hS8YJlseG4/MmrkXdQTRDgWdOeT5rsJAQ9xoV0Shi3YdYHhusUBSjbFJbGy/EliRr\n9fQAsuftUe50djoqQooDkompzkjiCfj2Jqssq3QqTZYVExpxrBiGDc+BIVgZRSqewxXDyBCtv16k\nVeZPNI8NFhENDB4YxidWjo2Ish59asAAu2ywsfKUp+3b116eNmLSUiEshNK2GLphuPKpEWNCPRui\nw9KfPvsskqOPtgkH20wBcG6tMpZMM92xw34jGvGwb+2zp78sIwGp3XTLFiTDhhW/YWWMyw/PWkN4\nb9Pt25H0t1eDcBEtWWrE/FIE2XTDBiQe44THYyNa0lLHvKislLdHeSGrTyHIxHQNGL5nt64G2xDd\nsp5N7d137RtqNOOER5bldRHR1F9RwTnse2AYVMJZjJ142q2qcsYYGvGsNTKK5AfDKFJZGS58htZu\nxFISDN2ktTVbxgmPLCFhKcDbNgPm6xbBCWXYsL5c0cJJAEdISUTjBEk2qamJl2ODYRSJaGDw4NiJ\nadUrPNqDJ8sxI6NzxgwbSV1dD3bkEGAZGBieZSwjDiFBcjJoUKZyirjw9JdlnCCEzySHHRZTJwpm\n2MhaGEv5E2w9DEIow4aVkDq0dVOMtshHlWUp0Yx8FxG9LgImiQxnnPDIejSlgMYJWrsRvS6ileb0\n4HlvGVVCgJhGEXl7FF42oh4XzLChMBYhDk6oKWfVhT06tMfLbVC1I5HnZmPpLFbpVE/5U0+7js+b\nvvBCl9dGkdt1uV16lFnrhhrROEEyMKQ7dyIZMsQmzHIPY8TMUeL0nO16cLSbNjdzvDaieWxErEJB\nMAClW7b4cmxE9Niwtuvpb4auqtPNm5GMHWv/A6xYB0a7pH1+0PDhZtm2Nru3R4ZeAwPy2CgEoQwb\n4S4HGdZvVsktz4GbVeqrvT2e23M0V96IAZYeo4gnH0I044RHNqJhg2UUYeXY8MBaHyO1CXCMMcz5\nFM1IHs0QA3DePY8uBWRLbw3oZezx9oi2dYn4ZMKwwdKhKQsYyxsgYB3yZPBglUAtZVhhHZ58CEcc\nQWmX5u0RzYgT0LCRTJhgF47mdeGRZZXmZGHNh+DJLQXEzCQYbd9khfsY3z2XLgXwZBlGEY+OThon\nVtJSISyEmnLWF4TlqUZZhFjGCUaIBBAznjTaLVDAkBBX7Ho0I0FEWZZho08fu6wHVsUbD57DlWec\nrftQlqqpZBFWThEr0UrbArxwLpYuxtCXWbqyQ7ayepBZNqLTbvFwpCsQByQThg3PGaeirdUuzFiE\nornlAbTFOv3rX5EMG2YTjnYDFBHPYZB0M59u3YpkxAibMCsZEMOw4Tn4BpwXrrwtq1YhOfZYe9tW\nWO7w1u/XsyZnyAsofeUVJEOH2v8AKyGt572PFsLJwvgOpVu3ImHlqYnmsRFQV/acg/r1s3t7CGEh\nlGGDEc5NW3Ct7moRjRNMzwnGLR+ryoj1cBUwJITmwfDuuxwvBpas1UDhsTZHNIp46N8fsJYRjhiK\nYl0fPftXRKxj7M2xEXFORbs2jpaLBODpcdFye3h09IBhLJ78HOWPDK6FIJRhg5GEGJtJhg2GNTjg\nounZ1JKBA33JshhEU9A8B8mAyTQTR+ZxmtcFo92IoSikcJJkyhRKuy48xlvrHsYyWgULM0qOO863\n17PCPxnGmKzt88bPm1RXxwwLZlw+WqumASHDWPoOt4exCGEhlGHDqj+ECycBMhW/R7PWZy2Jp/UF\n8ihZAY0TIWWjGUUiel1ETJrowXOoYxgKWKEoEWEdQqMZRVj7fMR2I3p7ZCkPXsAwlvJHHhuFINRu\nbjZ0vum4nXjzTbvsa68Vv93XX7e36bnF8YyTp93t282i6RtvIBkUzJrM8IBgHbhZso4blXTTJiRH\nH20TtoYbALyxihZ2EzCXQvrkk0hOPNHetpVoB1jWAcfz/nj2PuN7kK5e3VUZpcjtAuC9f55xIDQP\nCwAAIABJREFUtsKqtEMwiqTbtyPx6CYOPc4F4/LEo6OzQjhZOqAQBkIZNiqsGWSjeV0AdqtuRM8J\nZsxuNM8LRs6KiJ4TLA8GTz4ElnFiwAC7rFXRkmEjf/r14yiH0Qwb8sbJj379fEZUjyePZx5HM5ax\n5pS8PYoja50b0aq4ALxzRdkjj41CEMqwQVlIWIvQzp02uWhueYBvc3EoWYlHufPgudlguOFHDM0g\nGUVcN6Es44TnPZDHRsFlkw99yN6uBxk2Ci9LIDnxRJ+HJcs4wcixwUqyyqoAYzROuHUpVgUmhs7r\nadN6LgBihqkLYSDWjhzNsMGwkEY0TmQt10W0SiEBDQwut0uPrMfA4BkrhnECsH9HMmyUPjJslDae\nw6BnnfLsuZ61lWFQYRk2WBVg5O2RP9F0dHlslCDy2CgEsXZz6wvCqvbBsJBGU0YBWubxdPt2+00D\nKxM+Q3mP6HXhOeg7ZNO1a5HU19uEo+XJ8LQrw0bepGmKJEnsbVuJtpdENGx42jWOU7piBZKxY+3t\nevZrlizDqM8KY/Fg1GvSbduQePI/eGB5e1hlWR4mLI8NRn4bkWmyYdjwvJSepEby2BD7w6MAMA6E\nET02WLKefAjRjBMeWdKc6kCFWda1xHl02dYKvLXL1m/f+ajKLFnZ1y5rzqUV0bDhwfrueXO2RDN4\nAXbdhrX3scYpa4dQeWzkh+cc5ClvW/YY9zrxvsTazRkLCSMBKMD5rBkLJ0mGDbMLs8JJooWieFye\nWW7LnhwbM2dS2o0m21FpP/iyLrxYttvp05Nw3ry+ZcpoxOnb39xmRUTDhpHk9NN9B1jWodujT1n3\nIc+LF9Hbw6jXJEOHUnJ7uGUZYSwRc/6xwliEMBBrN7cmvPIkyvLIMkqvssJuSOEkLjybGqs0p8f6\nPXy4TW7wYHubhx9ul7X2F+CME8D7bh3ttjpu5q1LBkvHinjZzCJa1I7HDtqvn/0d6FttN5BXsUrF\nevSaiKFgjNDRDBnLAPhu9Vm5PTx6KyM03vPuscrMqtyrKDKxVt5o5ZUYV4sZ87rwKCzpzp1IrIfJ\niCVQrbIeI47HYyNgzol05Uokp55qEyYZJxi20IgRcyzjxGOPpZg2LTHJZikVECvNk6fd6mr7e2s1\niqRLlyKZNMncrvMDc9q16nEsb1+WjmD8vOnrryPxWBaz5O0R0eWQlZ+j7Al4IRyAWIaNaJsTYxEK\nmMTThcfrolevbCXUtCoeWarW4ZV1xK+zjBPRDBssvdCD195s3YY82xfrwtn62mfNG8dqFHkXvWPm\n2PC8vNZ9yFNe03PQj6ZfVFVRQmAAxPP2iPj+KBRFBCKWYcP6crGuBxmyEX2ePdeKDtlk6FB7uyyP\nDY9CalXuWCVMg+WNAIBZZ55lTge1w+EdzopAs7br0UUjhqJ4GD8+Wzk2rOPsOUdG3DatTJuWoMOx\nLFdUBzyYWWU9e1/Eg6TxxU2OPJKXt4Xl7WEl2jvAlC17Al4mByCWYcPqseGJ/YvmMx0xnMRDtESc\nXllGQk1WPpGAsiwDA6saWzSPjYiyLKLl2PCMsWdJZuEZY887P4jl7cFYICNWoQgWxgIgZj4Sq77M\nSFgK8BQMz1wWwkCs1cTqFhgtnMQjm7VwEseGmG7bhuSII2zCLOXBY2SwGkUCGhg8stbSmgBw//0p\nTjklMcmywkkYhg2WfhbNaxkAnnsuxYQJSY/1JV88y7IHqxNexOqaDB5/PMWHPpSY5Ssr7etjf8+a\nHs2w4TnQefZ5T/iM8SVK//pXJP3tVYlc4xwtjIWV0CdiGEvZE/C8FoBYho1omeoi1ha0QgoncVv6\nrdqwR0FjJdS0KksBjROefBUeffTttzkFjaJ5inhykbH0Qg+edltbOd68rEtU6/frOaN4kv5Hw7NG\nAc57iKHFT5YKgKM7eowTnsMgI3ymXz9etRyP/qgwltKWFcJALMOGtURZlk4MnsXWs0F4tB1SicyE\nVU6UVQK1pqa4coCrv2/BfgP05mazqKsS4jHHJNhsbDtangzArmdFc4Tz4mm3piZxzUkrLMOGtV1P\nf1lJVhln9dGj7WsUwEuHMGTIILNs/xrCpGJB+IKSIUNAm1QeGMYJltsgK3bNI1v2lK7HxkUXXYRV\nq1YBAN544w0MHToUy5cvx7p16zB+/Hgcf/zxAIAZM2bgxhtvBAAsX74cl112GXbt2oX58+fj+uuv\np/Q91qqdpYDuaHiuvCLmuojosWGVdbTZ0ddunNj+mlnUtZdGTMnDMopEM2x4iJiCyAPLRm79fqMZ\nYph4+uxZH1mFM/oebtuHKgJ6K9L0C88mxPL28Oit0Q7sEcNYBI077rij+///5V/+BUP2uswdO3Ys\nli9f/h6Zz33uc7j55pvR0NCA+fPn47777sO8efOK0t+9ibUlRwtFiZbIk5TrgmWcSDduRDJ6tE3Y\nk8QzWjJOUjJNT6iwp13P7e2jj6aor09MsqxS8dGqUnuWRlYKIs/nffnlFGPGJD3Wl3zxLOmecWbk\n9oiY99A6Ts8+m+LEExNzu6yLX8b51ZUolSXr0S+MrmHpqlVIBg+2txsx4an1BWSdCzwLq0JRCoS1\nhl5x+c1vfoMHH3yw+7mzs/M9v7Nx40Zs374dDQ0NAICFCxdi8eLFMmwcFEamOpbfpZWIuS5Ym1p7\nuyqF5EFHpT0uOlokF+A3ilgNFBFzHFs/a9byZHhob+e07WmTUe6VZUzxXPoyDCrvvuszorKq5TDW\n9Opq+94X0tvDqtf07589bw+rvszK6xExaamg89BDD6GmpgbHHHNM98/Wrl2LqVOnYvDgwfiP//gP\nzJw5Ey0tLairq+v+nbq6OrS0tDC6HMywkSW/ZwYRjRMOWbO3BuDbxFkhMEZZlnHC4/LM6vPYsYnZ\nQBHNOAHYdSWVXc2furokXL9ZRhEGnveHYRQZM8a+RgG++w9W0lLrlksrixtMv0gaGoDmZnu7AfXH\nTHkiKBSlQHBzbMydOxebNm3qfu7s7EQul8N3vvMdnHPOOQCA22+/HRdffHH37xx11FFYv359d86N\n888/H88991zR+/5+xFIhGB4brMBqq/bACidhGUWi5asgylorhbDyRrE8GCLKeg5XnnFmhKJ4iGYg\nEPnDMqZEM8R4iagmWPch35mZVAEmoqxHj2PFN1llWXW0PXjOQdp0STyx+78D88ADD7zvv7e3t+P3\nv//9Pvk0evfujaFDhwIApk6dimOOOQarVq1CbW0tNmzY0P17zc3NqK2ttXffQawtmWHY8MDIvua5\nToloNXdceaXr1iGZONEmHFB5sL4+LMOGR5aVr+KZZ1KMG5eYZKMZJzyyMmzkz4YNKUaOTNjdEGXC\nmjUpTjghMcuzEoAyzqAs58poho10+XIkRxxhb9fjuhRNb/UoGKwwFs+LG3HTLQsadv+3h58c8l94\n4IEHMH78eBx11FHdP9u8eTOGDRuGiooKvPTSS3jxxRdx9NFHY8iQIRg8eDAaGxvR0NCA2267DVde\neaX/YxiIZdiwnnRYCwmjfCprJ/aUP/WUMB0xwi7bqxenBKpDdtsu+y3Qxo02OU8VN0+ZSo8s06DC\nWKaihXZkTdfx6JSevC0ePNuXB8bcYHkhMHKR7NrFKfHslWUl/qVQY9/nB3l0EyvDhvl0IpZHQLSS\nYCwPcs/Lp1CU96G0F7U777xznzAUAFi2bBm+8Y1voKqqChUVFbjpppu6K6YsWrRon3KvZ511FqPb\nyHXuL71pCZLL5dA5d65N2BOsz9pNrQYKloGBdNDHXslqDhlPjg1Hnztqjjr4Lx0Aq3HCI+sxMLzm\nKNnKqooSrXRqVFkrWSu7KvKDZYiJaBRhhYREi3Q4/HB7mx5VjKVOVWz8q13Yo5ysXWuX9eT2YChU\nrJsiloHBeEmbe+yx/VbfKBdyuRyAFUVscXJZj+fexPLYYKRL98Dwu4yYADRDSbaAeIfuiHkyPDfc\nEY0EMk6IrMOI/ASy533ESlTMMOSwinWwdARXwtOs6YBWWZZF0nMe8ZyhMuVqdahobApBNgwbEbEu\nmlkzTjhk02eeQXLyyUVvd4fjkoBR8o6Vr4IVQeZZZl56KcUHPpAUvd2IaYREfrS0pKitTdjdKGuy\nZBTZsCHFmDGJWZ6VpJVRGtez93kMDKzKqYNqjDk20hTJ2LH2hgPqj+F0dEY8oxAEYhk2omnRHo2H\nke3KI9unj12WVdmkXz+z/Fu7KszNMowTnnZZXhee151pUImWdyLasipEKRHNKOJZo4BwHu0A7H1m\nVQNlGUWses2u1op4cUaAT29lGDY8lkHPYiOviwKhcS0EBTVsNDc3Y+HChdi0aRMqKirwqU996j1Z\nUpcuXYrzzjsPRx99NADg7//+7/H1r3+9kN06NFhpvBmLpmeDGDjQLuvJiO3YEBNHYpvtb5hFaTkc\nrAZ7Vt6IaJU+AODIIxOFdogeRd4a5QvDKFJXx1mjAN5+YB0rVjgkyyhiTUc3ZUoCVLfaG/ZeUFnx\n6K1WfZl1+RgxjEUIAwU1bFRWVuKHP/whJk+ejB07dmDatGk488wzcfzxx+/ze7NmzcIf/vCHg//B\naC8IYxEilU6N6ErYCnvm8YiJLa2KIcv7IWJohgcZJ4QQ+cLyFPHAWtOt+xArZRkrt4dHFWsdaten\nopW3BWDXl1nGCYWxlCAd7A6UJQU1bNTU1KBmd4rm6upqjB8/Hi0tLe8xbBQ8U6vH2sg67FtTah92\nmL1NT+lUUkWVjuH22ul3/TbFyScnJllPtQ9WCVSrLMsQw3KX9hwYlA+htGEd6Dw0N6eoq0vY3Sga\nMvAVFu8alTWDSjQYF/NPPZXiwx9OzO3W1dn1uArWzYv1sM9y5WEpVDKKiCJTtBwba9euxYoVK3DS\nSSe9598effRRTJ48GbW1tfj+97+PCRMmFKtbB4eVwdhqFAkYEsKqMNLaysk74ak+nKVQlCwpo1kj\nooFBFAfG3JAxpfRh7Aeevc9zn+a5XPfoF1ZV7N13eeEzrkouDI8Nj47u6a/nVsxzlhHvQ7AohCAU\nZbbu2LEDCxYswA033IDqv3kxp02bhvXr16N///645557cP7552PVqlU92wGPpsSKh2Pk2AjoDvi2\nI9fFxImJeUONWALVGskVsQwp66CSNW+NaAaKiPrZ6NEJuwtFhXGA9czjaEYR5hoVbaw8c9ETOe3Z\n5xkhMOPG2XUpwHepP2hoML012pnCK8vKNiwyS8HVvLa2NixYsACXXHIJzjvvvPf8+96GjrPPPhuf\n//znsWXLFgwbNuw9v3vZyy9j9O4sxkN69cLkAQOQDB4MAEi3bgWA/T9XViJ9o+sEnAwd2vXv+T7v\nDrFId8ceJIcfnv9zLoektrbruaWl698P9Xl3UtX0pZfyez7uuK7n557ret7t/ZLXc2srkqlTu56X\nL+/693yfn3666/mUU7qe//u/835uRRWWLk0BAKefngBA3s/HHNP1/NhjXc8zZuT/vGULMHVq1/Py\n5V3/nu/zk092PZ9wQtfz//xP/s+7dgF/+UvX83HHdf17vs9HHNH1vGbNvp8/n+ddu/73kLR2bde/\n5/Pc1gasX9/1vKeUab7Pe/rb3Nz1vMelPp/ntrb/VcJbWrr+Xc89/9y7t+378Ty/8krX88iRXc8b\nNpT+c69ehz7/s/r88stdz5bxrqws/ve7Z72zzGfP+zNiRNdzKa0H5fhs/X7Gju16trwPVVW2/Xbv\n50PZ3/c89+1r1y9OPbXr+VD0mT3Pw4bZ9ak//anr+VD0tz3PrUPt+uPciccCODR9tft540abvjxg\ngE0/B5D079/1nO95YO/n11+3n0f2nIcO5fyz5znP89eK7dvx5m5r4FqFrwgHuc4CJ7hYuHAhhg8f\njh/+8If7/fdNmzZhxO7cDo2Njbjwwguxdu3a93Y0l0PnjBm2Tnhcvzy5I+rqii87erS9TZLslrZB\nZtnmZrMo7rsvxaRJiUl282Z7ux5ZRr4LVihKtNs9gJdjg+U5wfCAYHldsNpdty7FqFEJp3EjDK+L\niJU+PFjXxyzmAbKuj6xcjSznWau6+9xzKWbNSsztOtKsudTsYZXb7ML7OacUVM4r61GWPbJGhTf3\nwAOFz79IJJfLAVhWxBZnlfV47k1BVbVHHnkEv/71r1FfX48pU6Ygl8vh2muvxbp165DL5fDpT38a\nv/vd7/CTn/wEvXv3Rr9+/XDnnXce+A9ad6eI7ltW2YDhJLs22pv1GHY9OTYi5nCytps14wSLiMYJ\nGTYKT69eMUNoxMHxrK2Mw3pUGPsQa59nRA14dCmAl08TNQSd16NnRzuPeGWFMFBwj42eIpfLoXP2\nbJuwtcII4DMl73bjMmH1gBg3rvhtAnir2p7VmmVI9lQ2ef11u6wnh5PHY8OqAMiwkT9ZM07IsCH2\nhzw2SlvWQ5bWdM96HtHbw6Mqewry7Y5gMMFwjAaA/jtetQl6vC5Wr7bLetrdHZpiYqPt5jJ3111l\n7WHQ5bHxYBFbnF3W47k3sVQ162rvWa09oSie1frII21yjv56SqduLr6nGgCfkWB3Gpait8swTgB2\nRThLiizAU2YjyjLaZHpOiPxgfEcsI4Hns8ooUtqw+hsx36LnPYiY399aoraCEU8MADt32mVZGe+F\nMJANw4Zn9dqdrNTEgAF2WYKbG6tcF0v2mWdSjBuXmGQjKqTRlEoPLOPEX/+adieQK2a7EWWteAwM\n0aq4AMCLL6bdSQyjEK3KCMs4wWDdupg5NqLtX6z+MvSLl19OUV2dmNuNqD9a9eX+rHBxz3nEcw5S\nKMr7oHKvhUCGjYNhrVUNcOpVOxY+T/1zj6zHoOKRfecde2xnxNsyUdpENE4wvBhYRisWyrEhehJ5\nHpU3DN2kvd2XJ4NVTZSh8/YfSDJseM4jnnOQDBuiyMRSl6zaXcT01MY+d/Ttb25ypyOJp8dTzbMh\nejbxurrE3G9VCik8EUNCjj46obTLMk5ES2AYsd36+qTH+nEoRDPAZsnrwsPYsUnmvMOj7ZvRQmBq\nauy6FOB7/zz6o6fP1siOjsPtOnpFhs4y2aCD3YGyJJZhw/qCeFywGOEkDtmILn2s8D15XRQeJdMs\njiwrPMPa52jhL8x2WbAMBdZ2tSbnT8S5zKggE80g4oWlE3k9b60wdF5Pm4MihrF4ZIUwEGt7sxo2\nWOEkBOvqDkdSS1bJLZbsmjUpRo1K7H/ASNaUJSsRDQwbNqQYMyYxyUYzTnhkI363LJ5/PsX48Qm7\nG4eEvCdKlzVrUtTVJexuHDKaU/nh0S+sY7xhgz1fGRBTf7Tqyy7DxhCS5wQrjKXsUY6NQhBLzYtW\nN9rRrjWkxLNQe5ImszYXj8LS3m6Xz5KiFO3Q7MXrOWGVjzjODC/TiHPKQ+/e9txt7dKb8sIzL6KF\ndVRW8t4DVvUZBhEvMDw5NiJ6ezD0ZU+bnlDzioDnICEsxNoqGMlDSa5fDDe3aJZvb7tHHZWoBGoJ\nE/FWf8KEhNIuyzjB8NhgJT9khVVNnpyYZVl99qyP1u+XdaPPSnxo5fjj7fse4OtzRINKlrC+tyNG\n8OZUNE9jVsg3LYxFOTbeB908FIJYho3DDrPJ1dTY23TIdgy31bkGgM1rjXKbzU3iTUcYi0eW5SmS\nNWXHeshhHHy97Xqqk3kOg54+s8aZYWSI6J0i8sczlxledAz3fa8s6yDpwWOU9ORSsMLSESJenEQ0\nljH2eto962j7eaSCZY0RwkAsNc8aqxXM68Ijy/K68GzELBfGtWtT1NYm9j9AIFqpS5bSzzJOrFmT\n4rjjEpOsPDYKT8R2V6xIXV4bVqIZfmVgyI/nn7fnAQJ4F7CesCpGQlrWWsMwirS08HQplkHT+u56\n3vnMeXsIYSCWYcP6gpBMpJ5EntZFyFOXm5WZOpoCHZVoiR49t3usPldV2ZebaMYJj2xErwtWu568\nLR5UFaXwMMJYevXihc9E2w8UOlP6eMaKUZHPo6PTDBuspKVlj0JRCkEsw4a1bBAhiSfA8Z7IWulU\nj8WddcMgr4v8iBiuUF+fmGWjGSc8stH6y6ShIWF34ZBRBYvCY10vpk5NaMYJ1n5g9faIZtzzYtWn\nvLoUKxSM4W3F0tFDJi0VwkAsNc9acsjxYrHcxhhubhENG1kj2iGUlXOCJRvRy4RlUGG0yUo8Kkqb\naIcjL573IEsXsBGNE1nTp6JVY2Hp6KzCAv1l2HgfOtgdKEtiGTYI5V5ZbmPWdmWcyB9WXGg0V3pP\nIs6IN/Mepf/FF1Oz10ZE44RVNmuVTTxj/MQTKcVrI9qa7plTrLK4jJCQp59OXdWbPFUoou0Hnr2P\npU95xsnqOcHMseGB8R15dPRo5xFAhg1RfGTYOAg7HVVGGDkrWJspK5yERcQDklU2YkgIy+XZkw8h\n4lhFq4rCwjvGET+zlSzl2PDgMSpGCwkBtPfli+c9sH5e5voULYwlWk4QwFe5EIfLsHFglGOjEOQ6\nOzs72Z3Ih1wuh87XXzfJbnp3mLndtWvNoi7ZTZtscqySrZ5bHBYspYUVJhEs967rtsxaQAmIWd7W\nc1vNeA8i5snIknHBC8PIkDWjvsdIwPLs9LTr0TGsB0KW+z6rXda8iHi5ZdUxhgyxt+mRHTHCLjt6\ndPFla2pyCHI8NZHL5QD8rogtLijr8dybWKqa8ZT0zkZ7kx5LJaNSCCtmN2uwDmaMsJCInhMR81V4\njBMeQ040I4MMG6KniZgk0nPQj1gVJVryUNY+z5qPWfOYssIyHnnOI6xzUPkjj41CEEpVa0WVSS6i\n9dsqm7U8GR5eeSXFyJGJSTZLh/2sJdP0yK5YkWLatMQkG9GQI8NG4fnv/05xyikJp3FRsljXiyef\nTDFpUmJuN+JaY92HPHsfIyQE4IzxunUpRoxIzO1G9NhghKJEO48AvvOXEBZCGTasL4gn8U00t76s\nuQMqH0L+WJU0liGGFbLj9YqxfuZoCUC9spHaBHgJTysqVM1FvBfrelFVxcsRxcKqF3nCfVhGEVYy\naJaewNJbre1GrMDESnha/shjoxBkwrDBSrjDWISy5nXh2SSOPjqhtBvtAMsqDRjRK2bGjMQsG9E4\nwTAyZK2iSpIknIZFWXLKKQktZJWVPNS6D7ESU7L0C6v+OHasb04xKrmwYBknWO0qFEUUm1CGjWh1\no1mLUDSyVGEkomzE/A1ZC4GJOM5WIt42R8zPwXKlF4UnotdTtL0vWgUYpqyHiN4eViJ6bCjvnyg2\nodQtq8cGK8cGI99FtIXai2cz3bAhxZgxiUmWpaAx8l1ETKDGilFesSI1e21ENE4wDrARjQQeHnoo\nxWmnJUVvN2vjnBUefTRFQ0NilvfoRCyDl1WfYq2rrDAWa5/XrElRV5eY281S0tJo5WkB5dgoHApF\nKQShVJfNm21yrBKonhc62mIdMZdC7972w/PAgfZ2WSVQrX1Wydb8qaqytx2tZKuHiIdmVp89c4oF\nY/+KWNmEkROrd2/efPKMFePmN+I6xaB/f14lFxaMS0TPOHnOI6zLOCEshFq2GaEoEevbR4N1U338\n8QmlXY8sIywkWhUXpqznZj2acYLVbtYOG6efnrC7cMgwvqOIxgnGOCVJQrs19sDYh1jhJNFCYCZM\nSGgH5yztB1nz9ih/OtgdKEtCLQnWuu0RDRvRiKjsRHT9Z1jOo8VFM2U9RGw3mlIZrb9ZhBE2wIJl\nFMmaYSNa4mxGOAmgPfdQiHb5yDrLyLAhik0oVcCaXdezAGXppYx4u+7ZxF96KcWxxyYmWY/SEi0Z\nZ8R5wZpTjz+eYubMxP4HjERTKiMeQj1UOG5m0jSlVEbpQEXR2wSy5e3hwdrnhx5KcfLJSY/2pRhE\n2/uy5O3x3HMpjjoqMbcb0RhjnRvRDCKA7xwU8fMWD+XYKASh1Evry+UpN5SlcJKI5ck8mzgrH0K0\n5KGsHCgRE2L26sUJ+Yl442XFYyQQ+RNtnD2GmCyFonjWKCbR4vw9+l80b4+KCl6fPQYkxrvLOhew\nvLRU7lUUm1Dbm9WwkaWQEBYRQzNOOCExy0b0YrD2OaLXBev7mT07obTrQcaJIuDYhJKZM+Nl4yTg\nmVNZMorMmZOE1Ik8B1grrD2I5e1h7fPkybwcGyz9UeRHxLWmeMhjoxCEeq2tOTaylCcjSwdub7us\nG6BoJeQihoRENMZ48LQbzsgQbVGOSrRxdrwErHegstJuUInmKeLFsx9YYekIrNt1T5894QpZ0h89\n/WV5e2TpDCXiE2p727nTJhcxPoxxu+7Z1DylvjztekqRvvxyivr6xCTr6fOAAXZZT5lZa58jhqKw\nZB9+2J4PgWZgyJLmEfCzpsuWIZk1i92N4mF9AQN+txWOxabKKJqmKWYlc8ztsvCEnQacGqFYsSLF\n2LEJpW1WuLi1XdZc9HxW5SksFPLYKAShDBvRFhIGEb0uGHkj9siqBOrBYdyUATENGxXo4Bgooi1y\n0forikeWwm5IbheeNcrjZcLCOswRvQYZ+oU3bwur+gzDy4QVusYiYp9FbDJh2IiWxBOIl4CQdTPv\n2cSnT0/Msh4PlWgHdpYhxgOrXVf1iogaQMQ+ByNT3hosIsZ1GPuczJzZwx3Jn2j5SDyw8mR4ZK16\nzYwZidmjGuCFsTCMIqzvNmLS0vJHHhuFIBOGjSyRtZwGEQ0q0fJzRDPEeHF5XERcpCL2WYhSIdqJ\nG3D12RM+w0rSyiBi5TTWVI7mdQFw9CkhxMEJ9YpF078ZN92s+ucRjRNPP51i6tSk6O1GdFG1wgwJ\nYZAuXYrk9NOL33C0xdFDlj4rgPShh5Ccdhq7G6VPxBMD4SRJW6MQLwTG8/VErIpilX3iiRTjxydF\nbxfgGUWs+rKn/ClL/5PXhYhEQE0gDowNJuKBmyVbVaVKIYWUCwvr4JylA3uWPqsoDhE9JzxYP6+3\nbmqGxpnV3Wjes716xfS6kI6eHzJsFIpgFemCEGqXydLLZV2EWN4PrJwTns87Y0ZilpXnV5IRAAAa\n+0lEQVTXReFlI4aEJKeeGu/QHq2/GUPeGkWA9Q4QTs7JrFk84wQpBEbeHvlhHeJTTklcxgmWUcSj\nt1rbZX1WIbJCKMMGA094BqNMJqt0qmecPO2ySpGy+swwAoU0TkQ8rEfssxDCTkSDSsB1ymoU8RhE\nWAdYT7ssPFPKo4t52rUakDxtsvKneHj7bU67MVDy0EIgw0YBiXYIZZXcYnkEPPlkavbaiOYq6pGN\n6DnBIn3wQd2wix5FOTZET+KeT8HCSQCY9yGWl0i0EJhHHkkxeXJibjdi8nnrgT1iPhGRPX73u9/h\n3//93/H888/jiSeewNSpU7v/7brrrsMtt9yCyspK3HDDDTjzzDMBAMuXL8dll12GXbt2Yf78+bj+\n+usBAK2trVi4cCGeeuopDB8+HHfeeSc+8IEPFKzvAXeoQ4dVrpIh61n4WOPE8rrw1l5nEK2/LpTr\nQgghSouAYSzRNs6IDjURK7l4DvtWfTlruUgY4dNxKF2Pjfr6etx11134zGc+s8/Pn3/+efzmN7/B\n888/j+bmZpxxxhlYvXo1crkcPve5z+Hmm29GQ0MD5s+fj/vuuw/z5s3DzTffjGHDhmH16tW48847\n8dWvfhV33HFHwfoea7UnEM2wEbE6CUv2tNMSs2xEY5nZ8yJrISEOdLMuehrNKdGTZHI+EfahiN4e\nVr0mSXw5NiLqj1Z9OWvjJGJy3HHHAQA6Ozv3+fmSJUtw0UUXobKyEqNHj8a4cePQ2NiIUaNGYfv2\n7WhoaAAALFy4EIsXL8a8efOwZMkSXHPNNQCABQsW4Atf+EJB+56J6Rpt4fO0ywqRYCUPjVZhxCsr\n8iRjBhUhhCh5MuR1wUL6VP4wkoeyximip0j5U7oeGweipaUFJ598cvdzbW0tWlpaUFlZibq6uu6f\n19XVoaWlpVtm5MiRAIBevXphyJAh2LJlC4YNG1aQPoaaclZrckQrp3UR8iTxZLmbscb48cdTzJyZ\nFL3dcMk4FRKSN8qHIHoazSnRk4SdTwyjCGkPiubtsWxZiunTE3O7jEouAEdv9ejo77xjl43oKSI8\nrNn934GZO3cuNm3a1P3c2dmJXC6H73znOzjnnHMK1rO/9QLpaTIx5SIaNhSKkh8e67cnx4YWayGE\nEEKUCx5P4ax5eygUpfCy5U8hPTZG7/5vD//vPb/xwAMPHPJfra2txYYNG7qfm5ubUVtbe8Cf7y1z\n1FFHob29Hdu2bSuYtwYQzLARrQQqQzZi6VSPrMf6PXduYpYN53XhkQ3oOcEi5E2oKGk0p0RPksn5\nlKE9jOHt8aEPJbQh9nh7MNQpVnnaiLKiNNjbw+Lcc8/FJz7xCXzpS19CS0sLXnzxRUyfPh25XA6D\nBw9GY2MjGhoacNttt+HKK6/slvnFL36Bk046Cb/97W8xZ86cgvY3lGGDcbseTTaa9RrwWetZhDNO\nCCGEEKL0CRgCA9hDYDx49EdG3oloZwqmrOCxePFi/PM//zM2b96MD3/4w5g8eTLuueceTJgwARde\neCEmTJiA3r1748Ybb0QulwMALFq0aJ9yr2eddRYA4IorrsAll1yCcePG4bDDDitoRRQAyHUWOtil\nh8jlcvg//8fW1QED7O0OHWqXHTy4+O0y2gRieoo89liKJElMsiENGzKK5IdjnNJHH83mjagoGGFz\nIoiSxD2flAC08AQ7haZpilmJ/RbWE57Bkt2xwyb3xhv2NrdutctGa/fqq3MFz8XApMsY8O0itvj1\nsh7PvQm1y1jXa0+CIFaYhLVdVhLPiDGSFehQCdRyRWMshBClhYwihYex97W3uy57WOVtGXprxPOI\nJ2mp5/MKYSHUTmFdSCImxYz2WSNWRbF6a1DJ0oE94GfVzbroaTSnRE8Sdj5lySgS7LMmp5/ukmfp\ngAy9NWLZVVaYevnj8PwWByTUam+1rkaz6HrajRgLR9M55HVReDROQgghmFj3oWgGES+s/bqyyi4a\nTG/N0nnE264QFkJNOat11fNiMcJJPO1mbfHyuD+mS5e6bxpMRDvsR+uvF8dkVj4E0dNoTomexD2f\nPJt9tL0kmOcEAEqf02XLkDgqHbhyljmSlka7fGSFk3ja3bnTLlv+FLLca3YJZdiIFp4RrSpKxHAS\nF+3t8RQtD1n6rEIIIQSLiEYRD6TPGy2MJdqZwiurUBRRbEJVRbn5ZltXhwyxtzt8uF3W0661yoin\nAszAgXZZz+KlCiMB2o1GRMVQFB7Ni9JHa5zYH5oX+REtNoMo2+Hw9rDmu9i+3dyky/vBWsUFAN58\n0y67ebNN7oILslAV5etFbPHbZT2eexNKy5PHxsEJmYE4a8YJkR86hIr9oXlR3li/X63n5U2WQmAi\nEnGMHbk9rET0jJbHhohEKA2xTx+bXMS8E4xQFG/p1GjQYtcjKgAiL5QPIU9knMibdNkyJLNmsbtR\n+ujgmxdao8ocRo6NoHOKUaI2onEiYv69GCjHRiEINeUYMW0s62qWqqKE9LrIkCIsxAGR1iLKARlF\nhLDP5XbnAY1WjaX4uT0iGhhY5yAhLITKsbFkia2r0fJkeGQ9bVZVKtdFybcbDe1qpY++IyE4aB8p\nbfT95I9ye+RFa5s9r4cnTwZL1pqf49RTs5Bj4/8rYovfK+vx3JtQGq01VitaOIlXVuSJlBZRLmjB\nECIe8hQR5ULWqsAQiHge8Zy/hLAQajVhJNSM5jbm2h8y5nWRPvwwkpkzKW2HQkpH3rhijTXOYj8o\nx4bYL9Z8CMuWITnllB7uTJkiw1NeUHWpYONc6UhYGu08AgQtaCBCE0qTtpYy9YRneDL69utnl7Uu\nJCFLp3oItqmJMqdXLxkohBCljQ7sopRgeXsQ5nKFK6+HPYzFcx7xpFDxnL/KHyUPLQShcmw89ZSt\nq548GVZjCgAMHGiXtRpUKtpa7Y3KsFHe6MCdHxonIYToebRf54fGKX+i5fZw9LfD4e2xa5dZFNu3\n22V37rTJHXNMFnJs/EsRW/zPsh7PvQmlwTPCM1hhLBHLp5rRJi6EKHVk8MofrelCiGKQodwejPK0\ngKqiFA55bBSCUFOOYdgI91JG9LogETLHRrgJSYI0TsqHUAQy9g6kS5ciOf10djcODcZ3lLH9ywp1\njQoWNkAj2DiF1KW8MOYjae/L1BlKhCfUlLO+IBGrooTbxKP1V5Q+2hHLF323oqcJdhgUh4i+X9HT\nRPP2cPQ3YtLS8kceG4UgVI6NdetsXfUkr/HIVlUSEnl6Auk8SHEoDlk6EGbpszLROAvBQftmccjS\nOGfpszJh7JueagaO/ra22cNYduywyR12WBZybFxZxBZ/VNbjuTehNFpKCVQWjM1JG2JxCDkhjWTp\nswohhCg9rPtQRJ1Ini3FwTpWrO8nYBhL+SOPjUIQaspZjZUeIyfF68IrK/Iik3GhFrQz5Y0rfl3j\nLPZDyBwbIj8I73y6dCmSU08tershkZEgL6RLFQnSmaLK8x70tXt7CGEhlCYdTu+X10X5Em4yiqLQ\nq5fmhhCitNGBXewPRiK7rMHyugjo7VH+ZKj6ZREJlWNj505bVz0eGxVtrXZhhnVVSkdxyNJCn6XP\n6kVjJYQoZ6Rj5EfWxilrn5cBq5qBQ7bDmLS0V68s5Nj4XBFb/ElZj+feZEIL99R+dqGFXpQSOnTn\nh8ZJCCH2j7w98kPjJEoJkscG7fwlMksoDZ5y3mBtMNrYCk766KNITjuN3Q1RCEjGCeVDED2N5pTo\nSajzSYf9siR96CGfLqXvNj8UxlJmKHloIQg148zvhxZNUS5okxBCCCHKFxmARLmg+SiKTKgcG53t\nRuuW58Xatcsuqxe6tIloJIjYZytZ+qxCCCEKQ5Z0sYifNWKfs4SrKootyWGuT5+yzgnRlWPjiiK2\neHNZj+fexDo5KKGm+FsiHn4j9tlKlj6rEEKI0sO6D0XUHSN6e0Tss8gPfT+iyGTj1EGq/SxKG3dc\nqBB/g/IhlDGsvC1piiRJKG2b0b5ZsmiNEj2NdKkyR+t5gVCOjUIQy7Chl6s8iXirH7HPVrL0WUXp\no/lY+jC+I+kHoqfJmieB9fP26tWz/TgUsvYdCSHel1g5NnbutAnLY6O0iXhQidhnK1n6rOLQ0NwQ\nWUc6gtgfWZsXET9vxD5Hw6gj5AYPLuucEF05Ni4pYou/LOvx3JtYWqlybIieJGuHsqx9XpEfmhdC\n2NGNsdgfWZsXWfu8Ij/03YoiU8HugCgTKivt/5FIly2jtS3Kk3TpUk7DAd8/kR9pmrK7IAoF4b2l\nrVGibAmrS2nfFFTai/hfdtDbKUQktKGWL/puhRD5EjEfgsgPeT8IIYSJWDk2Xn+d3Y3yJuLBSn0W\npYS+WyFEOaODc/kS8buN1udo/SWRO+ywss4J0ZVj46IitnhHWY/n3kgLF0KIvZFxQggh9o+8CYQQ\nQpQoyrEh+JDiHMPGhYqDw5pTyocgehjNKdGTUOeTchqUJVRdSnNKCLEXerPLDS3WxUHjLIQQQohy\nQXlbCo88nkQ32UrqWSyUY6PciHjgVp/F/tAYCyGE8KIDYeGJOMbR+hytvw6ykWPjo0Vs8bdlPZ57\nU9CTwzvvvINZs2ahtbUVbW1tWLBgAb75zW++5/euvPJK3HPPPRgwYAB+/vOfY/LkyYXsligEEQ+h\nEfsshBBCCFFKRPREiNhnUUbIY6MQFDTHRp8+ffDggw+iqakJK1aswD333IPGxsZ9fueee+7BmjVr\nsHr1atx000347Gc/e+A/2NZm+y8iihksOOnSpewulD8Zi39VPgTR02hOiZ4kk/MpQ3sQA+lSRSJj\n+pQQFgqePLR///4Aurw32tradrvf/C9LlizBwoULAQAnnXQStm7dik2bNhW6W2J/RFw0HX1esXIl\nr9+RiDgvSKxYsYLdBVFmaE6JnkTz6RDQ3pcXbl0q4jhH668oQdqL+F92KLhho6OjA1OmTEFNTQ3m\nzp2LhoaGff69paUFI0eO7H6ura1FS0tLobslBN7cupXdheKijbjgZG5OiYKjOSV6Es2nIhHxsG5E\nc0oIUSoUfAWtqKhAU1MTtm3bhvPPPx/PPfccJkyYYPtj0Rb8aP1loXESQgghhBCHgkd/jBqqbkHj\nVIJ0sDtQlhTtRDlo0CDMnj0b99577z6GjdraWmzYsKH7ubm5GbW1tfv9G5f90z9h9Ac+AAAYMmgQ\nJtfXI5k5EwCQPvwwAJTWc69eSE47rev5oYe6/r3Qz7Nndz3vriuezJoV43l3jGZy+ulFe37sscew\nB0b7pucPfajreXecdJIkei6h57Vr15ZUf/Qc/3nt2rUl1R89x37WfArwvEeftMi3tRVdP3nssceQ\nLl3K148O9fnUU7uei6nvVlba5U85peu5WOeJPc9FOC+teOYZvLltGwBg7fr1EMJKQcu9bt68Gb17\n98bgwYPx9ttvY968ebj66qsxf/787t+5++67sWjRIvzxj3/EY489hi9+8Yv7HDi7O/o3uTmEEEII\nIYQQQpQX5VyedPTo0Vi3bl3R2hs1alT3xVu5U1CPjVdeeQWXXnopOjo60NHRgY997GOYP38+brrp\nJuRyOXz605/G/Pnzcffdd2Ps2LEYMGAAbr311v3+rXKe4EIIIYQQQgghypusGBkYFNRjQwghhBBC\nCCGEEKKQVLA7IIQQQgghhBBCCGElhGHj3nvvxfHHH49jjz0W3/ve99jdEQG54oorMGLECHzwgx/s\n/tkbb7yBM888E8cddxzmzZuHrSpZJvKkubkZc+bMwcSJE1FfX48f/ehHADSnhJ133nkHJ510EqZM\nmYL6+npcc801ADSnhI+Ojg5MnToV5557LgDNJ+Fn9OjRmDRpEqZMmYLp06cD0LwSdrZu3YqPfvSj\nGD9+PCZOnIjHH39c80mYKXnDRkdHB77whS/gvvvuw7PPPovbb78dL7zwArtbIhiXX3457rvvvn1+\n9t3vfhdnnHEG/vKXv2DOnDm47rrrSL0T0aisrMQPf/hDPPvss3j00UexaNEivPDCC5pTwkyfPn3w\n4IMPoqmpCStWrMA999yDxsZGzSnh4oYbbtinEp3mk/BSUVGBNE3R1NSExsZGAJpXws5VV12F+fPn\n4/nnn8fKlStx/PHHaz4JMyVv2GhsbMS4ceMwatQo9O7dGxdddBGWLFnC7pYIxsyZMzF06NB9frZk\nyRJceumlAIBLL70UixcvZnRNBKSmpgaTJ08GAFRXV2P8+PFobm7WnBIu+vfvD6DLe6OtrQ25XE5z\nSphpbm7G3XffjU9+8pPdP9N8El46OzvR0dGxz880r4SFbdu24aGHHsLll18OoOvSaPDgwZpPwkzJ\nGzZaWlowcuTI7ue6ujq0tLQQeyTKhVdffRUjRowA0HVQffXVV8k9EhFZu3YtVqxYgRkzZmDTpk2a\nU8JMR0cHpkyZgpqaGsydOxcNDQ2aU8LMl770JXz/+99HLpfr/pnmk/CSy+W616ef/exnADSvhI2X\nX34Zw4cPx+WXX46pU6fi05/+NN566y3NJ2Gm5A0bQhSLvZU/IfJhx44dWLBgAW644QZUV1e/Zw5p\nTolDoaKiAk1NTWhubkZjYyOeffZZzSlh4o9//CNGjBiByZMn4/2K32k+iUPlkUcewfLly3H33Xdj\n0aJFeOihh7ROCRNtbW1Yvnw5/umf/gnLly/HgAED8N3vflfzSZgpecNGbW0t1q9f3/3c3NyM2tpa\nYo9EuTBixAhs2rQJALBx40YcccQR5B6JSLS1tWHBggW45JJLcN555wHQnBI9w6BBg5AkCe69917N\nKWHikUcewR/+8AccffTRuPjii/HnP/8Zl1xyCWpqajSfhIsjjzwSAHD44Yfj/PPPR2Njo9YpYaKu\nrg4jR47EiSeeCAC44IILsHz5cs0nYabkDRsNDQ148cUXsW7dOrS2tuKOO+7ozu4txKHQ2dm5z83V\nueeei5///OcAgF/84hfdh1Mh8uEf//EfMWHCBFx11VXdP9OcElY2b97cnfn97bffxgMPPIDx48dr\nTgkT1157LdavX4+XXnoJd9xxB+bMmYNf/vKXOOecczSfhJm33noLO3bsAADs3LkT999/P+rr67VO\nCRMjRozAyJEjsWrVKgDAn/70J0ycOFHzSZjJdb6fj2KJcO+99+Kqq65CR0cHrrjiClx99dXsLolg\nfPzjH0eapnj99dcxYsQIXHPNNTj//PPx0Y9+FBs2bMCoUaPwm9/8BkOGDGF3VQTgkUcewaxZs1Bf\nX49cLodcLodrr70W06dPx4UXXqg5JQ6ZZ555Bpdeeik6OjrQ0dGBj33sY/i3f/s3bNmyRXNKuFi6\ndCl+8IMf4A9/+IPmk3Dx8ssv4yMf+QhyuRza2trwiU98AldffbXmlTCzcuVKfPKTn8S7776Lo48+\nGrfeeiva29s1n4SJEIYNIYQQQgghhBBCiP1R8qEoQgghhBBCCCGEEAdChg0hhBBCCCGEEEKERYYN\nIYQQQgghhBBChEWGDSGEEEIIIYQQQoRFhg0hhBBCCCGEEEKERYYNIYQQQgghhBBChEWGDSGEEGIv\ntmzZgilTpmDq1Kk48sgjUVdX1/3c1tbG7p6Z0047DU8//TS7G0IIIYQQPU4luwNCCCFEKTFs2DA0\nNTUBAL71rW+huroaX/7yl9/ze52dncjlcsXuHoX29nb06tWL3Q0hhBBCiP0ijw0hhBDiAHR2dnb/\n/5o1azBx4kT8wz/8A0444QRs3LgRn/nMZzB9+nTU19fj29/+dvfvPv744zjllFMwefJknHzyydi1\naxfa29vxla98BTNmzMDkyZNxyy23vKe9NWvWoL6+Hp/85Cdxwgkn4O/+7u/Q2toKYF+Pi02bNmHc\nuHEAgJtvvhkXXHAB5s6dizFjxuCnP/0p/vM//xNTp07FzJkzsW3btu6/f+utt2LKlCmYNGkSli9f\nDgDYuXMnLr/8csyYMQPTpk3DH//4x+6/+5GPfARz5szBWWed1cMjK4QQQgjRc8hjQwghhMiTv/zl\nL/jVr36FKVOmAAC+973vYciQIWhvb8fs2bOxYMECjBkzBhdffDHuuusuTJo0Cdu3b0dVVRVuuukm\njBgxAo899hhaW1sxY8YMnHnmmairq9unjVWrVuHOO+/EhAkTcMEFF2Dx4sW48MIL39OXvb1Fnnvu\nOTQ1NWHbtm0YN24crr/+eixfvhxXXnklfvWrX+Hzn/88AKC1tRVNTU148MEHccUVV6CpqQnf+ta3\ncPbZZ+PWW2/Fm2++iZNOOglz584FAKxYsQIrV67EoEGDCjWkQgghhBBuZNgQQggh8uSYY47pNmoA\nwK9//WvccsstaGtrwyuvvILnnnsOu3btwqhRozBp0iQAwMCBAwEA999/P1544QXcfvvtAIBt27Zh\n9erV7zFsjB07FhMmTAAATJs2DWvXrj1ov+bMmYO+ffuib9++GDhwID784Q8DAOrr67F69eru37v4\n4osBALNnz8Zrr72Gt956C/fffz/uvfdeXHfddQC6jB/r168HAJx55pkyagghhBCi5JFhQwghhMiT\nAQMGdP//iy++iB/96Ed48sknMXDgQFxyySXYtWsXgH1DWPbQ2dmJG2+8EbNnz37fNvr06dP9/716\n9epOWFpZWYmOjg4A6G5nfzK5XK77uaKiYp+Ep3+bEySXy6GzsxOLFy/GmDFj9vm3pUuX7vN5hRBC\nCCFKFeXYEEIIIfJkb4PFtm3bMGjQIFRXV+OVV17BfffdBwCYMGECNmzYgBUrVgAAtm/fjo6ODsyb\nNw+LFi1Ce3s7gK6Qk3feeed929ib0aNH48knnwQA/Pa3vzX1/8477wQApGmKESNGoF+/fpg3bx5+\n9KMfdf/Onn4LIYQQQkRBHhtCCCFEnuzt8TB16lSMHz8e48ePx6hRozBz5kwAQFVVFW6//XZ89rOf\nxa5du9C/f3/8+c9/xmc+8xmsX78ekydPRi6XwxFHHIElS5bs423xt23szb/+67/iYx/7GH7605/i\n7LPPzquPf/vz3r17Y8qUKejo6MCtt94KAPjmN7+JL37xi/jgBz+Izs5OjB07FnfdddchjYsQQggh\nBJNc54GuhoQQQgghhBBCCCFKHIWiCCGEEEIIIYQQIiwybAghhBBCCCGEECIsMmwIIYQQQgghhBAi\nLDJsCCGEEEIIIYQQIiwybAghhBBCCCGEECIsMmwIIYQQQgghhBAiLDJsCCGEEEIIIYQQIiwybAgh\nhBBCCCGEECIs/z8lUrXo0uRCOwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x105e662b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import os\n",
    "from tools.plot_Bscan import get_output_data, mpl_plot\n",
    "\n",
    "filename = os.path.join(os.pardir, os.pardir, 'user_models', 'cylinder_Bscan_2D_merged.out')\n",
    "rxnumber = 1\n",
    "rxcomponent = 'Ez'\n",
    "outputdata, dt = get_output_data(filename, rxnumber, rxcomponent)\n",
    "plt = mpl_plot(outputdata, dt, rxnumber, rxcomponent)\n",
    "\n",
    "# Change from the default 'seismic' colormap\n",
    "#plt.set_cmap('gray')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
